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Explicit estimation of visual uncertainty in human motion processing

Explicit estimation of visual uncertainty in human motion processing
Explicit estimation of visual uncertainty in human motion processing
We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction.
The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a ‘capture region’ along the far edge of the occluder that they estimated would contain the object when it re-emerged.
We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.
cue combination, statistical approaches, motion, extrapolation
0042-6989
3050-3059
Graf, Erich W.
1a5123e2-8f05-4084-a6e6-837dcfc66209
Warren, Paul A.
cefe7959-f7e9-4e16-a92a-430f48e0fb91
Maloney, Laurence T.
bd7d39dc-32c8-4fb9-b298-7ec32c2e5585
Graf, Erich W.
1a5123e2-8f05-4084-a6e6-837dcfc66209
Warren, Paul A.
cefe7959-f7e9-4e16-a92a-430f48e0fb91
Maloney, Laurence T.
bd7d39dc-32c8-4fb9-b298-7ec32c2e5585

Graf, Erich W., Warren, Paul A. and Maloney, Laurence T. (2005) Explicit estimation of visual uncertainty in human motion processing Vision Research, 45, (24), pp. 3050-3059. (doi:10.1016/j.visres.2005.08.007).

Record type: Article

Abstract

We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction.
The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a ‘capture region’ along the far edge of the occluder that they estimated would contain the object when it re-emerged.
We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.

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More information

Published date: 2005
Keywords: cue combination, statistical approaches, motion, extrapolation

Identifiers

Local EPrints ID: 40154
URI: http://eprints.soton.ac.uk/id/eprint/40154
ISSN: 0042-6989
PURE UUID: 60c6df17-fd9d-4ae0-a0e9-e136ff0f40a7
ORCID for Erich W. Graf: ORCID iD orcid.org/0000-0002-3162-4233

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Date deposited: 04 Jul 2006
Last modified: 17 Jul 2017 15:35

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Contributors

Author: Erich W. Graf ORCID iD
Author: Paul A. Warren
Author: Laurence T. Maloney

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